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Titlebook: Mathematical Modeling, Computational Intelligence Techniques and Renewable Energy; Proceedings of the T Manoj Sahni,José M. Merigó,Ritu Sah

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樓主: Inveigle
51#
發(fā)表于 2025-3-30 09:29:07 | 只看該作者
52#
發(fā)表于 2025-3-30 14:07:35 | 只看該作者
Jainish Shingala,Jhanvi Desai,Vrutang Shah,Yashraj Sonara,Harsh Dhangar,Harsh Shah,Vivek Ramalingamior. Dynamic Bayesian Networks (DBNs) represent the state of the environment (e.g. customer) by a set of variables and model the probabilistic dependencies of the variables within and between time steps. The advantages of this intensional state space representation are demonstrated on a cross-sell a
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發(fā)表于 2025-3-30 18:34:22 | 只看該作者
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發(fā)表于 2025-3-30 23:56:55 | 只看該作者
Evaluation of Transitional and Plastic Stresses in Transversely Isotropic Disk Made of Piezoelectricead Zirconate PZT-4) and transversely isotropic materials (Barium and Magnesium). On the basis of all the observations, it is concluded that transversely isotropic piezoelectric materials are better than transversely isotropic materials for designing purpose.
55#
發(fā)表于 2025-3-31 04:40:43 | 只看該作者
An Investigation of a Novel Design of Savonius Wind Turbine Along Highway and for Small-scale Power T rotor design has been conceptualized, developed and tested. By virtue of the proposed novel rotor design, the developed wind turbine model has been shown to achieve performance gains in terms of increased output and correspondingly increased efficiency. The economic viability and the robustness of
56#
發(fā)表于 2025-3-31 07:08:41 | 只看該作者
Numerical and Economical Investigations on Thermal Enhanced Oil Recovery Techniquesuct a detailed simulation study for various oil viscosity types, including heavy oil with a viscosity of 120 cP and extra heavy oil with a viscosity of 1730 cP. The sensitivity of crucial factors that significantly affect well performance is investigated. An economic analysis of each recovery techni
57#
發(fā)表于 2025-3-31 12:16:43 | 只看該作者
Gunjan Rani,Arpit Dwivedi,Ganga Ram Gautamtural language processing, Internet application, e-learning, heuristic search, application systems, agent-based system, evolutionary and genetic algorithms, kno978-3-540-69045-0978-3-540-69052-8Series ISSN 0302-9743 Series E-ISSN 1611-3349
58#
發(fā)表于 2025-3-31 14:58:15 | 只看該作者
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發(fā)表于 2025-3-31 20:06:57 | 只看該作者
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發(fā)表于 2025-3-31 22:05:42 | 只看該作者
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